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Overview of Gaussian process based multi-fidelity techniques with
  variable relationship between fidelities

Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities

30 June 2020
Loïc Brevault
M. Balesdent
Ali Hebbal
ArXivPDFHTML

Papers citing "Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities"

5 / 5 papers shown
Title
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
42
0
0
15 Oct 2024
Gradient-enhanced deep Gaussian processes for multifidelity modelling
Gradient-enhanced deep Gaussian processes for multifidelity modelling
Viv Bone
Chris van der Heide
Kieran Mackle
Ingo Jahn
P. Dower
Chris Manzie
27
1
0
25 Feb 2024
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai
Ryan P. Adams
26
5
0
04 Oct 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
1